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cs.CL2025
TiME: Tiny Monolingual Encoders for Efficient NLP Pipelines
David Schulmeister, Valentin Hartmann, Lars Klein +1
Today, a lot of research on language models is focused on large, general-purpose models. However, many NLP pipelines only require models with a well-defined, small set of capabilit…
cs.AI2025
ReasonBENCH: Benchmarking the (In)Stability of LLM Reasoning
Nearchos Potamitis, Vansh Ramani, Har Ashish Arora +3
Benchmark scores for LLM reasoning systems are reported as single numbers, yet the same model, strategy, and task can produce meaningfully different answers and costs across repeat…